Tech is driving industries faster and faster. CAGR is keenly watched everywhere. Such tech needs leaders, and LogiNext has claimed its place, time and again, at the top of the chain.
Retail and e-commerce are moving fast and merging along the line into a singular platform. What is driving this behavior for these mega-entities? What is the one factor which is bringing all of retail and e-commerce onto one platform?
The Southeast Asian region would grow at 32% CAGR, reaching about $88 billion by 2025, Indian shores have taken up e-commerce strongly. Here, the market is slated to reach $64 billion by 2020, $200 billion by 2026, and surpass the U.S market by 2034
Internet of things (IoT) with the latest in machine-learning backed algorithms are the way logistics would be optimized to meet all customer demands and requirements, right from fast shipping, live tracking and notifications, and on-time delivery with optimized final mile movement.
Today we speak to an industry veteran with close to two decades of raw delivery management experience. Liam O’Sullivan has earned matchless following and adulation in his career. He is the Director of Operations at International Post Corporation (IPC), Brussels, Belgium.
Technology has enabled us to record, plan, allocate, dispatch, track, validate, and analyze all freight movement from a single dashboard with clear and real-time actionable insights in an easy-to-understand format. This leads to an agile, reactive, and dynamic setup for a company’s transportation management system.
Optimization is doing more with less while sustaining (or bettering) the efficiency of operations. With multiple orders and shipments constantly moving with an excess of customer requests and demand, fulfilling on-time deliveries consistently not only saves costs but also increases the overall brand value for the company.
Under-utilized capacity carries a clear cost which adds to the cost-per-unit carried by the resource. It isn’t feasible to run under-utilized resources to fulfill the ever-increasing demand created due to expectations of on-demand, same, or next day deliveries. On-demand and preferred slot delivery (or pick-up) is made more efficient with the use of an auto-allocation engine.
Traditional trade occupies close to 90% in key developing markets. By leveraging cloud-based technology, last mile delivery can be optimized for such distribution networks, bringing in organized patterns within the industry and generate more value for all the stakeholders involved namely the retailers, the distributors, the manufacturers, and the end-customers.
We saw last mile delivery being used as the key input in all omnichannel strategies. We saw localization in distribution strategies centered around making last mile delivery more effective. We also saw machine learning being implemented successfully in logistics and field workforce planning. These trends would be the greatest influencers in 2018 for logistics and field workforce management.